Technology
67 AWS accounts discovered in 2.67 seconds. 127 CLI commands via pip install runbooks==1.3.17. Terraform + CDK with 3-tier testing. Docker-first supply chain.
“The objective for technology is to make it easy for your pods to constantly develop and release digital and AI innovations to customers and users. Seven broad capabilities are needed to build a technology environment that can support a digital transformation.”
A more surgical and value-backed approach to cloud. The automation of software development and deployment is fundamental to building and releasing high-quality software. ADLC delivers this through Docker-first enforcement (nnthanh101/* only), Local-First Hybrid-Cloud (Docker/K3D -> AWS), and multi-account landing zones with READONLY-safe automation. Install: uv add runbooks or pip install runbooks==1.3.17 — then run any of 127 CLI commands against READONLY profiles.
IaC generation improves with each Claude release — more accurate Terraform modules, better CDK constructs. NemoClaw adds kernel-level security validation for agent-generated infrastructure.
Each phase answers: Who does it, Why it matters, What if you skip it
Org-wide resource discovery via Config Aggregator — all accounts, one query
/inventory:discoverIaC architecture with CDK or Terraform — Docker-first supply chain
/terraform:test + /cdk:synth3-tier testing with pre-deploy cost estimation
/terraform:cost + /devcontainer:validate-registryGitOps deployment via ArgoCD or ECS with health checks
/kubernetes:deploy (HITL approves terraform apply)Inventory cross-validation, health event triage, certificate monitoring
/inventory:lz-cross-validate + /cloudops:weekly-cert-reportDecommission unused resources, rightsize, track infrastructure DORA
/finops:decommission-inventory + /metrics:update-doraSpec-Driven workflow and product skills — copy/paste to start
/inventory:discover/security:cert-inventory/finops:decommission-inventory/terraform:test/devcontainer:validate-registry/metrics:update-dora/cdk:synth/terraform:cost/inventory:lz-cross-validate12 components implementing this pillar
What happens without this pillar, and why ADLC scales from 1 person to enterprise
Industry research identifies seven capabilities needed for technology environments: decoupled architecture, surgical cloud, engineering practices, developer productivity, production-grade solutions, security from the start, and MLOps. Without this pillar, infrastructure becomes the bottleneck that prevents all other pods from innovating.
Docker-first enforcement and 3-tier IaC testing work identically on a laptop and in CI/CD. Config Aggregator discovers resources org-wide regardless of account count. The infrastructure tooling scales with the cloud footprint. CloudOps Vizro Dashboard (available at /component-usage) surfaces three operational KPIs: tickets resolved per quarter (248, TBD pending audit), MTTR with agent assistance (7 seconds, source: runbooks v1.3.17 smoke tests), and manual toil reduction (~60%, TBD pending audit). Five Jupyter notebooks cover the most common CloudOps workflows — install runbooks then open the relevant notebook.
ANZ enterprise verticals where this pillar is most critical
Each pillar feeds the next — creating a self-reinforcing cycle of capability building
Infrastructure generates cost and usage data. FinOps transforms raw cloud spend into business intelligence.
Real products built and governed by this pillar
Browse the full component catalog or read the documentation
AI agents build governed & Humans ship trusted.
Five Jupyter notebooks covering the most common CloudOps workflows. Install pip install runbooks==1.3.17 then open the relevant notebook.
Python low-code operational dashboard built with Vizro (McKinsey open-source). Surfaces runbooks data as live KPIs — tickets resolved, MTTR, and toil reduction — without custom D3 or BI tooling.